Matches in SemOpenAlex for { <https://semopenalex.org/work/W2901394719> ?p ?o ?g. }
- W2901394719 abstract "A vital stage in the mathematical modelling of real-world systems is to calibrate a model's parameters to observed data. Likelihood-free parameter inference methods, such as Approximate Bayesian Computation, build Monte Carlo samples of the uncertain parameter distribution by comparing the data with large numbers of model simulations. However, the computational expense of generating these simulations forms a significant bottleneck in the practical application of such methods. We identify how simulations of cheap, low-fidelity models have been used separately in two complementary ways to reduce the computational expense of building these samples, at the cost of introducing additional variance to the resulting parameter estimates. We explore how these approaches can be unified so that cost and benefit are optimally balanced, and we characterise the optimal choice of how often to simulate from cheap, low-fidelity models in place of expensive, high-fidelity models in Monte Carlo ABC algorithms. The resulting early accept/reject multifidelity ABC algorithm that we propose is shown to give improved performance over existing multifidelity and high-fidelity approaches." @default.
- W2901394719 created "2018-11-29" @default.
- W2901394719 creator A5001799379 @default.
- W2901394719 creator A5047996039 @default.
- W2901394719 date "2018-11-23" @default.
- W2901394719 modified "2023-09-27" @default.
- W2901394719 title "Multifidelity Approximate Bayesian Computation" @default.
- W2901394719 cites W1551480811 @default.
- W2901394719 cites W1594863551 @default.
- W2901394719 cites W1645305843 @default.
- W2901394719 cites W1746819321 @default.
- W2901394719 cites W1925297253 @default.
- W2901394719 cites W1968114652 @default.
- W2901394719 cites W1974272479 @default.
- W2901394719 cites W1987440976 @default.
- W2901394719 cites W2014945091 @default.
- W2901394719 cites W2022261649 @default.
- W2901394719 cites W2042770989 @default.
- W2901394719 cites W2045973738 @default.
- W2901394719 cites W2074401358 @default.
- W2901394719 cites W2082850612 @default.
- W2901394719 cites W2084924279 @default.
- W2901394719 cites W2088872157 @default.
- W2901394719 cites W2116620527 @default.
- W2901394719 cites W2131176356 @default.
- W2901394719 cites W2131766020 @default.
- W2901394719 cites W2135267747 @default.
- W2901394719 cites W2152246075 @default.
- W2901394719 cites W2152896489 @default.
- W2901394719 cites W2155418451 @default.
- W2901394719 cites W2163715525 @default.
- W2901394719 cites W2165372860 @default.
- W2901394719 cites W2232528752 @default.
- W2901394719 cites W2529348500 @default.
- W2901394719 cites W2577455646 @default.
- W2901394719 cites W2616545773 @default.
- W2901394719 cites W2731805355 @default.
- W2901394719 cites W2739845079 @default.
- W2901394719 cites W2807771383 @default.
- W2901394719 cites W2811395263 @default.
- W2901394719 cites W2895152177 @default.
- W2901394719 cites W2911248615 @default.
- W2901394719 cites W3121471846 @default.
- W2901394719 cites W3124293288 @default.
- W2901394719 hasPublicationYear "2018" @default.
- W2901394719 type Work @default.
- W2901394719 sameAs 2901394719 @default.
- W2901394719 citedByCount "0" @default.
- W2901394719 crossrefType "posted-content" @default.
- W2901394719 hasAuthorship W2901394719A5001799379 @default.
- W2901394719 hasAuthorship W2901394719A5047996039 @default.
- W2901394719 hasConcept C105795698 @default.
- W2901394719 hasConcept C107673813 @default.
- W2901394719 hasConcept C111350023 @default.
- W2901394719 hasConcept C11413529 @default.
- W2901394719 hasConcept C126255220 @default.
- W2901394719 hasConcept C149635348 @default.
- W2901394719 hasConcept C154945302 @default.
- W2901394719 hasConcept C160234255 @default.
- W2901394719 hasConcept C19499675 @default.
- W2901394719 hasConcept C2776214188 @default.
- W2901394719 hasConcept C2776459999 @default.
- W2901394719 hasConcept C2779377595 @default.
- W2901394719 hasConcept C2780513914 @default.
- W2901394719 hasConcept C33923547 @default.
- W2901394719 hasConcept C41008148 @default.
- W2901394719 hasConcept C45374587 @default.
- W2901394719 hasConcept C76155785 @default.
- W2901394719 hasConceptScore W2901394719C105795698 @default.
- W2901394719 hasConceptScore W2901394719C107673813 @default.
- W2901394719 hasConceptScore W2901394719C111350023 @default.
- W2901394719 hasConceptScore W2901394719C11413529 @default.
- W2901394719 hasConceptScore W2901394719C126255220 @default.
- W2901394719 hasConceptScore W2901394719C149635348 @default.
- W2901394719 hasConceptScore W2901394719C154945302 @default.
- W2901394719 hasConceptScore W2901394719C160234255 @default.
- W2901394719 hasConceptScore W2901394719C19499675 @default.
- W2901394719 hasConceptScore W2901394719C2776214188 @default.
- W2901394719 hasConceptScore W2901394719C2776459999 @default.
- W2901394719 hasConceptScore W2901394719C2779377595 @default.
- W2901394719 hasConceptScore W2901394719C2780513914 @default.
- W2901394719 hasConceptScore W2901394719C33923547 @default.
- W2901394719 hasConceptScore W2901394719C41008148 @default.
- W2901394719 hasConceptScore W2901394719C45374587 @default.
- W2901394719 hasConceptScore W2901394719C76155785 @default.
- W2901394719 hasLocation W29013947191 @default.
- W2901394719 hasOpenAccess W2901394719 @default.
- W2901394719 hasPrimaryLocation W29013947191 @default.
- W2901394719 hasRelatedWork W1597933726 @default.
- W2901394719 hasRelatedWork W1926678456 @default.
- W2901394719 hasRelatedWork W2187262937 @default.
- W2901394719 hasRelatedWork W2299003572 @default.
- W2901394719 hasRelatedWork W2314255623 @default.
- W2901394719 hasRelatedWork W2488484556 @default.
- W2901394719 hasRelatedWork W2529348500 @default.
- W2901394719 hasRelatedWork W2604868599 @default.
- W2901394719 hasRelatedWork W2762679522 @default.
- W2901394719 hasRelatedWork W2771674975 @default.
- W2901394719 hasRelatedWork W2782887949 @default.
- W2901394719 hasRelatedWork W2912670428 @default.